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Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks

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Publication:2949646
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DOI10.1007/978-3-319-11740-9_75zbMath1323.68504OpenAlexW651768505MaRDI QIDQ2949646

Yong Qi, Xingbin Ma, Xibei Yang, Xiaoning Song, Jing-Yu Yang

Publication date: 2 October 2015

Published in: Rough Sets and Knowledge Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-11740-9_75


zbMATH Keywords

incomplete information systemdecision-theoretic rough setmaximal consistent blockmulticost


Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)




Cites Work

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  • Attribute reduction of data with error ranges and test costs
  • Test cost sensitive multigranulation rough set: model and minimal cost selection
  • Maximal consistent block technique for rule acquisition in incomplete information systems.
  • Rough set approach to incomplete information systems
  • Rules in incomplete information systems
  • Feature selection with test cost constraint
  • A hierarchical model for test-cost-sensitive decision systems
  • Set-valued information systems
  • Minimum cost attribute reduction in decision-theoretic rough set models




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